How to implement Multi-target classification in tensorflow? Say I have a list of features f1,f2,...,fn and i want to predict the class or a value of three targets t1,t2,and t3. So each target belongs to a single class only.
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It sounds like you're interested in multinomial logistic regression. In TensorFlow, the most important function for this is tf.nn.softmax_cross_entropy_with_logits_v2.
This site gives a good idea how the softmax function makes it possible to classify a point in multiple categories.